Manu Lahariya

Orcid: 0000-0003-1912-5367

According to our database1, Manu Lahariya authored at least 9 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Physics-Informed LSTM Network for Flexibility Identification in Evaporative Cooling System.
IEEE Trans. Ind. Informatics, 2023

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022
ML framework for global river flood predictions based on the Caravan dataset.
CoRR, 2022

Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems.
CoRR, 2022

Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning.
CoRR, 2022

Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learning.
CoRR, 2022

Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020
Defining a synthetic data generator for realistic electric vehicle charging sessions.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019
Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019


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